sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
354086df3e58d8278afd70ed187596ae56865e6b4ca781ba08575333fbbfcadb | Shell | 4,520 | 117 | #!/usr/bin/bash
################################################################
################################################################
# Step 3: Training BGW-TWAS gene expression prediction model by EM-MCMC algorithm
# Employ Makefile generated by a Perl script
##############################################... |
9808e3deec83dbc06309d7b389c96138319128e96fbe7aed4c992aa11459d1d6 | Shell | 4,588 | 94 | #!/bin/bash
# Create dir if not existing
mkdir -p data/
query_tool-popularity() { ## [months|24]: Most run tools by month
handle_help "$@" <<-EOF
See most popular tools by month
$ ./gxadmin query tool-popularity 1
tool_id | month | count
---------------------------+--------... |
1af0d52376d44d341da2e15818575eaacc4b9cdcb3db53fe9bbb6383c9da8b9d | Shell | 4,598 | 137 | #!/bin/bash
#
# Perform SyN warping from individual to template space using T1 cost function only
#
# USAGE : tmp2ind_T1.sh --T1ind=<Individual T1w> --T1tmp=<Template T1w image> --Atmp=<(Probabilistic) atlas> --nthreads=<nthreads>"
#
# AUTHOR : Mike Tyszka
# PLACE : Caltech
# DATES : 2016-09-30 JMT From scratch
# ... |
b7e4e9d8ffa5c1597eb239aebf97804e818c5cdc74640f55e686105faa2e4457 | Shell | 4,611 | 135 | #!/bin/bash
SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
STRIDE_DIR="${SCRIPT_DIR}/stride"
# Function to check if a command exists
command_exists() {
command -v "$1" >/dev/null 2>&1
}
# Function to install build tools
install_build_tools() {
if [[ "$OSTYPE" == "linux-gnu"* ... |
194f35dee3c045c101d28841e853848d1c1e60a87d678f3d499c521b78d68e8d | Shell | 4,625 | 201 | # number of replicates of experiments
n_exp=1 # TODO
# config data
path=./data/
V1e4=ns_V1e-4_N10000_T30.mat
swe=2D_rdb_NA_NA.h5
cos=ns_V0.0001_N1200_T30_cos4.mat
swearena=ShallowWater2D
# data with T (number of steps into the future to predict)
declare -A datas=(
["$V1e4"]=20
["$swe"]=24
["$cos"]=10
["$swearena"]=9... |
53d3f93ec8b258790fff32e6f3881a26b0201425b13ea34fe8bbb2a62c1c4f4c | Shell | 4,636 | 118 | #!/usr/bin/bash
################################################################
################################################################
# Step 1: obtain summary statistics (aka Score Statistics)
# Runs single-variant GWAS on the training sample genotypes and available expression data.
# first extracts gene l... |
7027f1628cc23c69fcc8e896b7472a6ffe5363056493b169e2a77f5ab6093cb9 | Shell | 4,660 | 129 | #!/usr/bin/env bash
set -euo pipefail
python_bin=${PYTHON_BIN:-python3}
sleep_seconds=${SLEEP_SECONDS:-60}
dry_run=${DRY_RUN:-0}
log_mlflow=${LOG_MLFLOW:-1}
log_tb=${LOG_TB:-0}
log_dvclive=${LOG_DVCLIVE:-0}
device_mode=${DEVICE_MODE:-cuda}
gpu_count=${GPU_COUNT:-1}
cpu_threads=${CPU_THREADS:-1}
# Add cross-validatio... |
b6da122eb32278f845280db0578ca54bfb5dccbe7b38ec31f8c3cd217ee10110 | Shell | 4,677 | 117 | #!/bin/bash
# Slurm Parameters
#SBATCH -p medium
#SBATCH --time 8:00:00
#SBATCH --job-name=neoloop
#SBATCH -o HIC_pipeline%A.log
#SBATCH -e HIC_pipeline_%A.err
#SBATCH -n 1
#SBATCH -c 10
#SBATCH --mem 50G
#SBATCH -C scratch
#SBATCH --array=0-32
ifs=(GSC457B-Arima-allReps-filtered.mcool \
GSC390B... |
1eeb5d4f127d8b8b0e9b94894c0d4dced82f42a1247a4119f40bb1001fa5198e | Shell | 4,691 | 164 | #!/bin/sh
GPU=3
autoencoder_path=<set this variable> # name of root folder containing the trained autoencoder model (folder's name starts with time stamp)
suffix='trained_models/checkpoint_bst_rmsd.pt' # name of the trained autoencoder model, do not change this
eval_epoch=<set this variable> # epoch of latent diffusi... |
cbaa1b2a7238041e86c37eb036ed9d23b3fc224a602620fddd1bbf1fd3244066 | Shell | 4,829 | 123 | #!/usr/bin/bash
# Tool Tabix is required for running this script
# R library data.table and dplyr are required
#################################
VARS=`getopt -o "" -a -l \
BGW_dir:,wkdir:,gene_name:,BGW_weight:,test_geno_dir:,test_geno_filehead:,GTfield:,test_pheno:,num_cores:,clean_output: \
-- "$@"`
if [ $? != 0 ]... |
247f0feca56dbbebc1b2d0b6e8c93d02342db5458ce275ef4ce64c8dd1bbcfe8 | Shell | 4,851 | 109 | #!/bin/bash
if [ $# -lt 1 ];then
echo ""
echo "Runs GRE with FatNavs recon on the CUBRIC cluster."
echo ""
echo "Usage: cluster_submitGRErecon.sh <full_path_to_input_raw_twix_file> <full_path_to_output_root_folder>"
echo ""
echo "If you pass just one input file you will get the outputs in the current working fol... |
57a3bc7353158ec5c1b872ef653ab6e79a18e7f904180f684e3089c9f77bdad9 | Shell | 4,976 | 161 | #!/bin/sh
#
# Copyright (C) 2014-2015, 2020 Genome Research Ltd.
#
# Author: James Bonfield <jkb@sanger.ac.uk>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, inc... |
ecedc75a87a214b01dbabacc3d570e27b52c60290094dc433763a2388dc9acdc | Shell | 5,056 | 137 | #!/bin/bash
# Nicole Gay, updated for single-level croo output structure
# 13 May 2020 / 2026
# ATAC-seq alignment stats
#
# Reads croo filetables to locate genome BAMs (handles cache hits automatically),
# copies BAMs locally, runs samtools idxstats in parallel, then collapses to
# merged_chr_info.csv.
#
# Requirement... |
c11d796e451b281c45f2009df770f63e0fabcc6af73b24b95d659c4f5ec35d63 | Shell | 5,073 | 110 |
################################################################
################################################################
# Step 0: Set up directories of the tool, input files, and working directory for implementing BGW-TWAS.
################################################################
####################... |
1d4fa6ba5dd762cfdf6f34394946964a554926901097fe5ebf0e97a96a4c95ed | Shell | 5,172 | 138 | #!/bin/bash
set -e
module load unstable git python-dev py-notebook
python -m venv venv
source ./venv/bin/activate
pip install seaborn
pip install pyarrow
echo "********************************************************************"
echo " Useful locations"
echo "*****************************************************... |
34ac89b0d79350434ad54e276c4d147725f5ec0cd41b7b91ed1b49bae8034176 | Shell | 5,318 | 138 | set -e
# Check for spaces in the current directory path
for item in $PWD ; do
if [ "$item" != "$PWD" ]; then
echo "${0##*/}: error: repository path must not contain whitespace characters" >&2
exit 1
fi
done
if [ -f run.sh.conf ]; then
. ./run.sh.conf
fi
# Look for a GitHub token
if [ -n "... |
861d962b77cb325591ae6232642cdb27e9ec5f8abbd4936af796d7e4ed20f9ed | Shell | 5,327 | 142 | #!/bin/bash
# Script to make plots for figures
# A. M. Chakrabarti
# 13th April 2021
conda activate clipplotr
# Specify local path to clipplotr
CLIPPLOTR=~/github/clipplotr/clipplotr
# ==========
# Zarnack - Figure 1
# ==========
$CLIPPLOTR \
-x 'hnRNPC_iCLIP_rep1_LUjh03_all_xlink_events.bedgraph.gz,hnRNPC_iCLIP_r... |
77115627ccc9b4791928626cb4097b1cb3bc602dfd9c171a291016cc8ab57034 | Shell | 5,428 | 105 | #!/bin/bash
## OURS ALL vs GTEx ENSEMBL 107 ALL
singularity exec ../../../../singularity_containers/nanopore.sif gffcompare -r \
../../../data/processed/1st_rebuttal/discovery_comparison_bambu/GTEx_ENSEMBL_107_NEW_ALL.gtf \
../../../data/processed/other/novel_only_annotations/all_novel_bambu.gtf \
-o OURS_... |
c86f9518d13dd947a60a597669278295ece4d1b3dc6324424fbb71ab2d0f933a | Shell | 5,461 | 154 | #!/bin/bash
# Author: Nicole Gay, Anna Scherbina
# Updated: 2026
# Purpose: Generate per-phase peak x sample read counts matrix from tagAlign and
# peak files across all tissues within a single phase. Run this script
# once per phase (e.g. pass1b-06, pass1ac-06). The master peak file is
# bui... |
9d4c68e6648d1ec5bb708070643ac9004e34b064f92f8fee0feab7400c4b86bf | Shell | 5,540 | 143 | #!/bin/bash
# This script implements the evolution-based (phylogeny & taxonomy) baseline algorithms for cross-validation.
# Phylogenetic Hidden State Prediction (R)
R
phylo_estimate = function(tree,tip_states,method,Ntips,Nstates){
if (method == "MK"){
hsp = castor::hsp_mk_model(tree,tip_states,Nstates)
}else... |
14932f037dabcec7646614872002994b55b32c7d47a91d00de0127236a0d3bf4 | Shell | 5,631 | 159 | #!/bin/bash
# ANTs B-spline SyN warp CIT168 head template(s) to an MNI space
# - currently supports FSL MNI152 1 mm or MNI ICBM152 asym nonlin 2009c 1 mm spaces
# - uses whole head templates for warping
# - T2w templates used if available (eg with 2009c)
# - Gray matter probabilistic tissue mask
#
# USAGES
# AUTHOR : M... |
8819dee9932daca9d3f049efe3e88c897aab54336aa97b68d3997b68aa79eb91 | Shell | 5,636 | 152 | #!/bin/bash
# Usage function
usage() {
echo "Usage: $0 [OPTIONS] [PDB_FILE] [MODEL_TYPE] [OUTPUT_DIR]"
echo
echo "Options:"
echo " -i, --interactive Run in interactive mode (default if no PDB file provided)"
echo " -c, --cpu Run using CPU only (no GPU acceleration)"
echo " -h,... |
f4a9e9fa6fde4e43f7a6a56c028b60dbf6f930b7941ea563598b5b5b673a2e82 | Shell | 5,713 | 182 | #!/bin/bash
#
# Perform SyN multimodal warping from individual to template space using joint T1 and T2 cost function
#
# AUTHOR : Mike Tyszka
# PLACE : Caltech
# DATES : 2016-09-30 JMT From scratch
# 2017-04-10 JMT Fixed dimensions bug in pAtlas resampling
# 2017-04-11 JMT Duplicated Adam Mezher's f... |
27e2105ee62f885555ba67311f3db68dc9f4e04fe1cd2a5319b6585539db70de | Shell | 5,816 | 164 | #!/usr/bin/env bash
# This script will perform Level 1 statistics in FSL.
# Rather than having multiple scripts, we are merging three analyses
# into this one script:
# 1) activation
# 2) seed-based ppi
# 3) network-based ppi
# Note that activation analysis must be performed first.
# Seed-based PPI and Network PPI ... |
f2bf44ce438fe18f4e25f53a01d01c1154337cf049089239521e583bd945d8ea | Shell | 5,873 | 139 | #!/bin/bash
# This script will perform Level 3 statistics in FSL.
# Rather than having multiple scripts, we are merging three analyses
# into this one script:
# 1) two groups (older vs. younger)
# 2) two groups (older vs. younger), with covariates
# 3) single group average
#
# This script can also run randomise (pe... |
b31394ef6a84adec64f7823627f70d357dfcbbed1bb98766b268c1a73e918b28 | Shell | 5,924 | 198 | #!/bin/bash
#-------------------------------------------------------------------
# Statement: U-BDS is not responsible for the misuse of this script
#-------------------------------------------------------------------
###################
### DEFINITIONS ###
###################
set -ueo pipefail
progname=`basename $0... |
6cc90b6583396c593b546d5bdf7cbde62140b0b1e36f82950241127be2826214 | Shell | 5,962 | 160 | #!/usr/bin/env bash
# Shared ablation trainer. Wrappers set ABLATION_MODE + EXP_NAME.
# Modes: full | phase1_only | phase2_only | joint_ep_k1
set -eo pipefail
cd "${SLURM_SUBMIT_DIR:-.}"
[[ -f .env ]] && set -a && source .env && set +a
: "${DATAPATH:?set DATAPATH in .env}"
export PYTHONPATH="${PWD}${PYTHONPATH:+:$PYTH... |
16ef6d3a496e08c50f3faf6ced7975809b37ea388296e8daa1fb38d1649d88f3 | Shell | 6,068 | 164 | #!/bin/sh
# Wrapper script for docker.
#
# This is used primarily for wrapping the GNU Make workflow.
# Instead of typing "make TARGET", type "./run.sh make TARGET".
# This will run the make workflow within a docker container.
#
# The assumption is that you are working in the src/ontology folder;
# we therefore map the... |
bf23d731f0a44ab6af7ba6cba13cbe40b0984da729f340e82b610b95a691f8bf | Shell | 6,147 | 193 | #!/bin/bash
set -eu
base_ALLDATA="/media/neptun/LocalDisk16TB/Athena/Bracha_et_al_accepted_032024/FastSSD_Oded/baseline2_NOV21"
base0="/media/neptun/LocalDisk16TB/Athena/Bracha_et_al_accepted_032024/paper_data/3D_mouse_brain_data"
#base0="3D_mouse_brain_data"
samples0=(4834 4836 4844 4849 4851 4858 4864 4868 4837 4840... |
244932dfa792c9aa9182aed2947eca7157e6b7d7c18e024d79a4c040418858d3 | Shell | 6,179 | 208 | ###############################################################################
#
# Main execution script for the RES workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: Ap... |
285d1ff92c38cbb19cb69132eec4baa3f7bb68253c5caeb3f9d57a2ef5002a96 | Shell | 6,179 | 208 | ###############################################################################
#
# Main execution script for the CSM workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: Ap... |
5f72c81a30f3e1e7020c90c538d64f73d3128ece72bd40c4195c0e6b18b84427 | Shell | 6,179 | 208 | ###############################################################################
#
# Main execution script for the ASE workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: Ap... |
71d03ff184ebdc605eb94ee05bb39e865d67c31456d10cbb1c87cae0fa9ab532 | Shell | 6,179 | 208 | ###############################################################################
#
# Main execution script for the PQA workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: Ap... |
773d9cc9b6ec758f87ee0353487d953dbdae1e27d595bb9deb0c9d118678ba66 | Shell | 6,179 | 208 | ###############################################################################
#
# Main execution script for the KPC workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: Ap... |
c562976fce712c7df0f5c7771650bc95cfcb22a57d999c9f42c4b5356e79d3f5 | Shell | 6,179 | 208 | ###############################################################################
#
# Main execution script for the QEI workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: Ap... |
d7b653465b9a139030be5edf2ab980bda84276fabf01d7d54f9b15c5a976318c | Shell | 6,179 | 208 | ###############################################################################
#
# Main execution script for the TPA workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: Ap... |
e04480f85b661f5c6702ff156fa88f64ad7b040a9fe1a95b24d7a33fe2030553 | Shell | 6,179 | 208 | ###############################################################################
#
# Main execution script for the PAQ workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: Ap... |
e8560ba8ab7377a0e1e586ec05adb6ee4f7fc34c86864b38e85fa702bdb47080 | Shell | 6,179 | 208 | ###############################################################################
#
# Main execution script for the MAE workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: Ap... |
72e4feebc8061fd7d0cac2c91d9ab03948d36e33fbd090d218068b863398bf3e | Shell | 6,245 | 105 | #bin/bash
set -e
# It is almost copy of what is happened in FSL FEAT
# SA, Ox, 2020
# We should already have example_func
# The output of this function will be example_func2standard.mat, but what is important is the warp files
# The warp files can be used later to take the whole 4D image into the standard space.
# OR... |
d3ec4fce72366f2efe3f0bdadd8265552654b27ad4577467d8bbaefc7f839b4b | Shell | 6,272 | 248 | #!/bin/bash
#Copyright 2023. TU Graz. Institute of Biomedical Imaging.
#Author: Moritz Blumenthal
export BART_COMPAT_VERSION="v0.9.00"
set -eu
SCRIPT_DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )
helpstr=$(cat <<- EOF
Creation of k-space and trajectory from dat file
-h help
EOF
)
usage="Usa... |
f29a01290adf7b298982229948c072049dd27cc807cce4f689dda1033302ca5f | Shell | 6,291 | 160 | #!/usr/bin/bash
################################################################
# Step 2: Prune blocks
# Select a subset of genome blocks (up to ${max_blocks}) for joint model training by BGW-TWAS
# Cis blocks are always selected
# Rank trans blocks with minimum single-variant eQTL p-value < ${p_thresh} by the smalle... |
d7f1e1b1eae5da30d6fc826c8d6ce3508d7b7842707f7f6e1f8b888dff0797b3 | Shell | 6,542 | 137 | #!/bin/bash
# This script finds the number of signficant results and extracts them for single clusters
# for comparisons between wins and losses for social + doors, ISTART 2022
# Jimmy Wyngaarden, August 2022
# Ensure paths are correct irrespective from where user runs the script
scriptdir="$( cd "$( dirname "${BASH... |
38c17e8a53220de07c08568d87b98f6d55c690473c1dee06470810413ccf82ae | Shell | 6,549 | 277 | #!/bin/bash
#Copyright 2023. TU Graz. Institute of Biomedical Imaging.
#Author: Moritz Blumenthal
set -eu
SCRIPT_DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )
DATALIST=$SCRIPT_DIR/13_T1_hres.txt
SCRIPT_DIR=$SCRIPT_DIR/../../01_scripts
RAWDIR=${RAWDIR:-$SCRIPT_DIR/../00_data/10_raw_data}
TRNDI... |
fc5f9632421a4e4f1a09f07683df4d2c7b6f93dbd06cb3f1e916c7d22c495236 | Shell | 6,554 | 277 | #!/bin/bash
#Copyright 2023. TU Graz. Institute of Biomedical Imaging.
#Author: Moritz Blumenthal
set -eu
SCRIPT_DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )
DATALIST=$SCRIPT_DIR/13_T1_hres.txt
SCRIPT_DIR=$SCRIPT_DIR/../../01_scripts
RAWDIR=${RAWDIR:-$SCRIPT_DIR/../00_data/10_raw_data}
TRNDI... |
b9e607b5622514ee3293b5dbb96565f1df001ee7c8f65a5f89a355bada1f8972 | Shell | 6,702 | 164 | # Supervised learning classifiers predict the categorical metadata classes of unlabeled samples by learning
# the composition of labeled training samples. For example, we may use a classifier to
# diagnose or predict disease susceptibility based on stool microbiome composition,
# or predict sample type as a funct... |
390a95d6fa5b178eebc03477ee125ba60479390b0fdb456a2cb4979f94541002 | Shell | 6,935 | 165 | #!/bin/bash
set -e
# nki_bids_mpp.sh <SubID> <SesID> <TR> <TASK>
# INPUTS:
# All paths assume BIDS structure
# SubID : BIDS format SubjectID (including sub-, e.g. sub-A00001234)
# SesID : BIDS format Session ID (including ses-, e.g. ses-BAS1)
# TR : TR in ms
# TASK : TaskID... |
2e55994e67ea15bebac10d2901999984d08d2870b2c124b344e398755bf4e6af | Shell | 7,130 | 166 | #!/usr/bin/env bash
# Written by Wu Jianxiao and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
# This script uses the mappings generate using Registration Fusion approach to project batch data in a volumetric space to fsaverage surface
###########################################
#... |
927a5669257fe1527b0195efc12f569020262cd3e042e31932553c2360ca3040 | Shell | 7,267 | 118 | #!/usr/bin/env bash
# definitions
scriptDir=/vols/Scratch/comparative_scripts/m2_homologies
workDir=$scriptDir/seeds
mkdir -p $scriptDir/seeds
refImg=$FSLDIR/data/standard/MNI152_T1_2mm_brain
# M1 - Primary Motor Cortex
coord=($(echo 40 -20 58 | std2imgcoord -img $refImg -std $refImg -vox -))
fslmaths $refImg -mul 0... |
6a91b1d464f441895950b96dbb327da915845bbde42b7f72f94d13bda5f21cce | Shell | 7,455 | 272 | #!/bin/bash
# Load Local Variables
source ./SET_VARIABLES.sh
####################################
# Put together the data from various files
# Assemble all DIFF_SCANS from raw nifti folder
echo "Loading Data"
${FSL_LOCAL}/fslmerge -t ${DIFF_DATA_DIR}/data.nii.gz \
${NII_RAW_DIR}/*X${DIFF_SCANS[0]}P1.nii.gz \
... |
208338ba7ffc2f8b2e23d8a597a8aa3d683330a467793345767686235a344928 | Shell | 7,588 | 142 | #!/usr/bin/env bash
###############################################################################
#
# Download PolyAsite atlas (and select canonical chromosomes +MT)
# for a given organism (supported: hsa/mmu).
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioi... |
e198801aaf90bf3b707090126c68a87e1117d4312c2599338b16f17f64ae6bf2 | Shell | 7,648 | 223 | #!/bin/bash
# farm.py needs to be on the path
#
# Changes by AH:
#1. use blastx instead of blastall -p blastx
#2. change directory paths
#3.
######################################################################
#
# Arguments
#
arg_input_seq=$1
arg_output_result=$2
arg_working_dir=$3
arg_output_evd_plot_feat_b... |
d7df113f1163d64157a1156c9b183e1399a9f41b893a770a21b9b862217fe5a5 | Shell | 7,993 | 398 |
# FEAT version number
set fmri(version) 6.00
# Are we in MELODIC?
set fmri(inmelodic) 0
# Analysis level
# 1 : First-level analysis
# 2 : Higher-level analysis
set fmri(level) 1
# Which stages to run
# 0 : No first-level analysis (registration and/or group stats only)
# 7 : Full first-level analysis
# 1 : Pre-proce... |
e2150fc95114250b6e96c24f54ec8eeb1e884f46b64fc548865ba32a61c08b1d | Shell | 8,034 | 250 | #!/bin/bash
# Load Local Variables
source ./SET_VARIABLES.sh
cp ${FLASH_DIR_FA05}/data_degibbs.nii.gz ${FLASH_DIR_WARP}/data_flash.nii.gz
echo 'Runing N4 on FLASH Data'
for i in $(seq 1 $N4_ITER);
do
current_iter_flash=${FLASH_DIR_WARP}/data_flash_N4_${i}x.nii.gz
current_iter_flash_field=${FLASH_D... |
6b9271f220628858b3a5f219d56d7513ff3d450064e13e9013a7637bbc28717d | Shell | 8,174 | 239 | #!/bin/bash
# Wrapper script for running the ENCODE ATAC-seq pipeline
###
# working directory needs to be base directory (not src/)
# USAGE: src/atac-seq-human-wrapper.sh
###
set -eu
if [ $# -lt 2 ]; then
echo "Usage: ./server_setup.sh [GCP_REGION] [GCP_PROJECT] [CROMWELL_OUT_DIR] [CROMWELL_LOC_DIR] [REMOTE_KEY_FILE... |
538eeb89e6ddd59c8ff06e84dc13b4d2bf4e15b588b8e1110305cf271bb56609 | Shell | 8,416 | 204 | #
# mexopts.sh Shell script for configuring MEX-file creation script,
# mex. These options were tested with the specified compiler.
#
# usage: Do not call this file directly; it is sourced by the
# mex shell script. Modify only if you don't like the
# defaults after ru... |
b87d7164894e52284517a92b222f989059848b8d9b3970c6ba68bca6adf4213e | Shell | 8,426 | 278 | ###############################################################################
#
# Main execution script for the MAPP workflow
#
# AUTHOR: Maciej_Bak
# AFFILIATION: University_of_Basel
# AFFILIATION: Swiss_Institute_of_Bioinformatics
# CONTACT: wsciekly.maciek@gmail.com
# CREATED: 29-11-2021
# LICENSE: A... |
4fda3a820100c257d018c2af0efe2aec71b1c4761acd6feb259b1d7378a5285e | Shell | 8,618 | 281 | #!/usr/bin/env bash
git --version > /dev/null
if [ $? -ne 0 ]
then
echo "Could not find git executable"
exit 1
fi
rg --version > /dev/null
if [ $? -ne 0 ]
then
echo "Could not find rg (ripgrep) executable"
exit 1
fi
top_level=$(git rev-parse --show-toplevel)
cd $top_level
ret=0
opts="--perl-regexp --ignore... |
201af3d2f40aaf3ca0b76297222f462fcc93611c7ef28723113bdb7ad375d3cd | Shell | 8,751 | 69 | #!/bin/bash
## Only keep the first column that contains read ids and skip the header
tail -n +2 ../../../../data/bernardo/processed/01.exploratory_analysis/sample_1092_PAM41667_mapped_filtered_sorted_novel_read_ids.txt | awk -F'\t' '{print $1 > "sample_1092_new_read_ids.txt"}'
tail -n +2 ../../../../data/bernardo/pro... |
5ea037fe69c0658e0e26c56e9ced5e482c214a11d8ea2fb147f74091f2a55c99 | Shell | 8,826 | 202 | #!/usr/bin/env bash
# =============================================================================
# BrainCell container entrypoint
#
# Responsibilities (in order):
# 1. Clone (or update) the BrainCell repo at $BRAINCELL_DIR
# 2. Compile MOD files in EACH of the four BrainCell mechanism locations,
# in place.... |
5d6c460bbae82ad6988405ea88fbed3185a7a4b4e4792efc327ad78403cbcae5 | Shell | 8,875 | 311 | # overlap of edges between aicda and GhmC
# srun --nodes=1 --ntasks=1 --cpus-per-task=8 --mem=50g --time=04:00:00 --pty bash -i
name=activ72h_B
g2a=/mnt/BioAdHoc/Groups/RaoLab/Edahi/Projects/09.TimeCourse5hmC/ForFerhatGit/ghmc_to_abc
g2a_input=$g2a/ABC_input
char_out=$g2a/post_analysis/characterization_abc_k27ac_5hmc
... |
0dd87bee110cfaa20dee734ba79ced770090da0993d04e377835d9716575662a | Shell | 9,074 | 258 | #!/usr/bin/env bash
###############################################################################
# DDSurfer DTI Processing
#
# This script estimates the diffusion tensor, derives scalar maps, registers
# them to the atlas reference image, and writes the registered outputs into the
# internal cache consumed by prepr... |
8a263c78b36cbca65680bcf6314aaddd6a1e331a0cc01d512b8f6a1f217ef4b2 | Shell | 9,322 | 223 | #!/bin/bash
# This script records the codes for preprocessing of cross-validation data.
# Data Cleaning (R)
R
reads = seqinr::read.fasta(file = 'data/raw_data/rrnDB-5.7_16S_rRNA.fasta', as.string = TRUE,
forceDNAtolower = FALSE, whole.header = TRUE)
reads = data.frame(unlist(reads))
reads= ... |
ee7ddbd26991b3a8d42224434fa149891a3bbae4a833d18fb3833d49084aee27 | Shell | 9,609 | 254 | #!/bin/bash
# This script records the codes for preprocessing of test data.
# Data Cleaning (R)
R
library(seqinr)
library(readr)
library(dplyr)
library(Biostrings)
library(DECIPHER)
library(ggplot2)
library(stringr)
reads = seqinr::read.fasta(file = 'data/raw_data/rrnDB-5.8_16S_rRNA.fasta', as.string = TRUE,
... |
2406c8da7c37224994cc244467ecfe9b3b3ce9b35c938129cc58da86b83941e1 | Shell | 9,611 | 228 | #!/bin/bash
# This script searches the hyperparameters for ANNA16 (Python)
python
import numpy as np
import pandas as pd
from sklearn.metrics import mean_squared_error
from math import sqrt
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout
import matplotlib.pyplot as plt... |
3289f17c0f946f9a9ece5db42920ba7d0b70414c1cfc298e10859310ddc9001e | Shell | 9,684 | 303 | #!/bin/bash
echo 'Running dMRI processing, make sure to have ANTS running (for N4), next to otherwise active environments'
# Load Local Variables
source ./SET_VARIABLES.sh
####################################
# Noise Nias Correction
echo 'Noise Bias Correction'
# Noise Debiasing with Noisemap acquisition
python3 $... |
292775519c1f52abb17c81237acb8009b064594d1535175348afc5507a4fd9ae | Shell | 9,754 | 298 | #!/bin/bash
set -x -e
ATLAS_DIR=/project/hippogang_3/sravikumar/atlasPHG2019
source $ATLAS_DIR/scripts/common.sh
TAU_DIR=/project/hippogang_2/pauly/tau_atlas
WORK_DIR=$ATLAS_DIR/tau_atlas
mkdir -p $WORK_DIR
function vis_to_raw_space()
{
ID=${1?}
ID_PY=$(cat $ATLAS_DIR/scripts/subj_tau_atlas_2022.txt | awk ... |
0633dc0a7b716e92ff73219565d1b168a398046d9cff08472356eba45df1c335 | Shell | 9,822 | 187 | #!/bin/bash
set -e # Fail on error
#### INFO: to run shellscript, use 'source shellscript.sh'
model=$2 # dataset name (x-mouse/ human)
input_dir=$4 # input directory
gtf=$6 # annotation file
out_dir=$8 # output directory
#https://github.com/mrbaseman/parse_yaml/blob/master/README.md
echo outdir: ${out_d... |
00882180fe3b0ef57bad8e62d7c55341ad33d7f3d0c28c51034bae3a910d5ac5 | Shell | 10,383 | 229 | #!/bin/bash
#
# make-vcproj.sh -- Make sln and vcproj files from CMakeLists.txt and qhull-all.pro
#
# CMake vcproj files includes absolute paths and does not handle 'd' annotatios for debug versions
# Remove CMake targets
# Change absolute paths to '../...'
# Append '_d' to debug products
# Write targ... |
ccbd9e4cee64b3afa19ce09e26d54d57f0431cfe83b00d919183a3dd7c21849c | Shell | 10,388 | 223 | #!/usr/bin/env Rscript
# load data and results
library(plyr)
resid_exp = readRDS(file="residual_expression.rds")
keep.genes = readRDS('keep_genes.rds')
meta = readRDS('cayo_bulkbrain_combined_metadata.rds')
for(i in 1:length(resid_exp)){
resid_exp[[i]] = data.frame(resid_exp[[i]])
resid_exp[[i]]$ROWNAMES <- r... |
6df844471506ca5c3d8caa33fcae1a1b9fa1fffcdebd1bc056ae8c3fed4178ad | Shell | 10,921 | 262 | #!/bin/bash
# Load Local Variables
source ./SET_VARIABLES.sh
echo 'Copy Files to Segmentation Directory'
# Copy FLASH Data to segmentation directory
cp ${FLASH_DIR_FA05}/data_degibbs.nii.gz ${TISSUE_SEGMENTATION_DIR}/flash_contr1_degibbs.nii.gz
cp ${FLASH_DIR_FA12p5}/data_degibbs.nii.gz ${TISSUE_SEGMENTATION_DIR... |
919a3facc5d59701f3df940eaca430cb6c18d43d8a479b3e0c7b3486eed646bd | Shell | 11,072 | 242 | #!/bin/bash
# Slurm Parameters
#SBATCH -p medium
#SBATCH --time 20:00:00
#SBATCH --job-name=cuttag_gz
#SBATCH -o cuttag_gz_%A.log
#SBATCH -e cuttag_gz_%A.err
#SBATCH -c 10
#SBATCH --mem 100G
#SBATCH -C scratch
#SBATCH --array=0
#### original pipeline and tutorial available at https://yezhengstat.github.io/CUTTag_tuto... |
e1c20692a25bd6588206037b41318099c2f9dddd6abb8dde2e847ca2f2baa453 | Shell | 12,523 | 369 | #!/usr/bin/env bash
###############################################################################
# DDSurfer Data Preprocessing Pipeline
#
# The preprocessing workflow has four stages:
# 1. DTI estimation and atlas registration from raw diffusion inputs
# 2. Skull stripping of registered scalar maps
# 3. Resam... |
62f68817fea81ccb9e3eced1749e59a7190a020771ab92acb47a69d03270f27c | Shell | 12,665 | 312 | #!/bin/bash
#$ -S /bin/bash
set -x -e
ROOT=/project/hippogang_3/sravikumar/atlasPHG2019
source $ROOT/scripts/common.sh
#RAWDIR_OLD=/data/tesla-data/pauly/studies/pmatlas/ndri/import/nii
RAWDIR=/project/hippogang_3/sravikumar/atlasPHG2019/pmatlas_raw
ATLAS_2016=/project/hippogang_2/pauly/dan2015/atlas2016
CMREP_DIR=$RO... |
a8067792c4d0a9797c32af184ee155c496ce11a4ad1b03c745dfebc0c3e1dae4 | Shell | 12,766 | 158 | set -eu
SCRIPT_DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )
download()
(
URL=$1
DST=$2
if [ ! -f "$DST" ]; then
TMPFILE=$(mktemp)
wget -O $TMPFILE $URL
mv $TMPFILE $DST
fi
)
RAWDIR=${RAWDIR:-../10_raw_data}
download https://zenodo.org/record/10492333/files/vol0001_vis1.cfl $RAW... |
980f5b8624f2ea68156a7603c5a48d0e57b86564c37e70c6d36a59850deb249e | Shell | 13,520 | 317 | #!/bin/sh
#
# qhull-zip.sh version -- Make zip and tgz files for Qhull release
#
# wzzip from http://www.winzip.com/wzcline.htm
# can not use path with $zip_file
# odd error messages if can't locate directory
#
# $Id: //main/2015/qhull/eg/qhull-zip.sh#16 $$Change: 2071 $
# $DateTime: 2016/01/18 23:12:45 $$Author: ... |
22202fec301d13ae80100c1d21496738378aca613ecf3e85917b935354f322de | Shell | 14,225 | 237 | name=activ72h_B
name_alt=resting_B
g2a=/mnt/BioAdHoc/Groups/RaoLab/Edahi/Projects/09.TimeCourse5hmC/ForFerhatGit/ghmc_to_abc
g2a_input=$g2a/ABC_input
src=/mnt/BioAdHoc/Groups/RaoLab/Edahi/Projects/09.TimeCourse5hmC/ForFerhatGit/GhmCN/src
g2a_hic=$g2a/ABC_input/hic/${name}
g2a_hic_alt=$g2a/ABC_input/hic/${name_alt}
mkdi... |
09466b44df6627fb1ab5def6cca334f2084901d816572e937eb82b3a2117b2c8 | Shell | 15,627 | 275 | #!/bin/bash
#######################################################################################
#RNA QuantSeq Analysis: https://www.lexogen.com/quantseq-data-analysis/
#9/23/2019
#######################################################################################
###############################################... |
191b31d282aa31cc6aa56dfa65033191b43852570548c6633b5006634ac8f41b | Shell | 16,241 | 438 | STEP_DIR="$ROOT_DIR/3-create-train-val-set"
# Reset folder
rm -rf "$STEP_DIR"
mkdir -p "$STEP_DIR"
# activate environment
source "$ROOT_DIR/.venv/bin/activate"
# Export symbols
find "$ROOT_DIR/dataset-cut-normed" -mindepth 1 -maxdepth 1 -type d -printf '%P\n' | xargs --max-procs 12 -I % \
textgrid-tools-cli grids ... |
c774b0c8d184b2f89091713916e2459031ec496c5512accbaf547c63cb16d289 | Shell | 19,048 | 709 | #!/usr/bin/env bash
#
# Script to find Python and R deps in this repository
#
# It uses snakefood to find the python dependencies
#
# exit when a command fails
#set -o errexit
# exit if any pipe commands fail
set -o pipefail
# exit when your script tries to use undeclared variables
#set -o nounset
# trace what gets... |
90dbbec02eb997764416c381e8340ed3edbef53898d68dda319df4858e7a2a6c | Shell | 19,313 | 350 | #!/bin/bash
#Processing pipeline to evaluate Free Water fraction and DTI-metrics after free water elimination (using free water from mcDESPOT)
# written by A.Caporale, Apr-May 2022 #########################################
## intial folder should contain: raw DWIs (nii); bvals (txt, no commas); bvecs (txt, no commas)... |
e5928c3ae6665b1830b816c641f7e9a890830534d950d9df0bfb3a535a3959dd | Shell | 19,488 | 336 | #!/bin/bash
#Processing pipeline to evaluate Free Water fraction and DTI-metrics after free water elimination (using free water from mcDESPOT)
# written by A.Caporale, Apr-May 2022 #########################################
## intial folder should contain: raw DWIs (nii); bvals (txt, no commas); bvecs (txt, no commas)... |
0afa7ff45cf3b41859af8ec6431869547645a902adf152132a4a35d01fedc9d7 | Shell | 20,130 | 812 | #!/usr/bin/env bash
# cgat-flow-conda: Integration test for pipelines running against the
# latest conda packages of cgat-core and cgat-apps. The idea is that this
# is the situation of a user just trying to run or extend our pipelines
# without getting into cgat-core or cgat-apps internals.
# References
# http://kvz... |
bac2fcebb2d50c240591d1425ea1f59f86baba4024e61458982790ab66157f1b | Shell | 24,276 | 389 | #'#################################################################################
#'#################################################################################
# Nextflow commands for applying NetActivity
#'#################################################################################
#'#####################... |
6981c395a4e1924fe7629e8f10a9ccbe11eab94d5304cded23275051e05e98f7 | Shell | 33,095 | 1,223 | #!/usr/bin/env bash
# Travis: repo is provided by travis.
# build conda environment
#
# Jenkins: repo is provided by jenkins
#
# Local: code can be downloaded (--clone-from-repo)
#
# References
# http://kvz.io/blog/2013/11/21/bash-best-practices/
# http://jvns.ca/blog/2017/03/26/bash-quirks/
# exit when a c... |
f6a7cf3a557c4db677af31b77f02e8691c9625401e8b277a8edd523daf577f22 | Shell | 37,351 | 1,037 | #/bin/bash
set -x -e
# atlas directory
ROOT=/project/hippogang_3/sravikumar/atlasPHG2019
source $ROOT/scripts/common.sh
#Template directory
TEMPLATE_ROOTDIR=$ROOT/atlasPHG_V3_2022
TDIR=$TEMPLATE_ROOTDIR/mst_multilabel
TEMPLATE_PHG=$TDIR/template_ncc/iter5/template_phg_thresh0.5.nii.gz
TEMPLATE_SRLM=$TDIR/template_nc... |
55b3fada926e92ca4abdaafc0a6039dfcaee950e6b8420520f1ee132ef96d1bd | Shell | 45,143 | 1,251 | #/bin/bash
set -x -e
module load R/3.2.5
ROOT=/project/hippogang_3/sravikumar/atlasPHG2019
ADIR=$ROOT/atlasPHG_V3_2022
WORK=$ADIR/shape_animate
THKDIR=$WORK/thickness
# Read the common include file
source $ROOT/scripts/common.sh
SF_NAMES=("NULL" "CA1" "CA2" "DG" "CA3" "HATA" "SUB" "CYST" "MISC" "SRLM")
#TEMPLATED... |
d713b0ee876c0f34ad123c597439918b41fcbd51ead06dfab467e7941b5874f2 | Shell | 54,293 | 1,674 | #!/bin/bash
#$ -S /bin/bash
set -x -e
# The directory where we are doing this work
ROOT=/project/hippogang_3/sravikumar/atlasPHG2019
# The work directory
WDIR=$ROOT/atlasPHG_V3_2022/mst_multilabel
# Read the common include file
source $ROOT/scripts/common.sh
# List of all the ids to run
SUBJ_LIST=$ROOT/scripts/subj... |
6728a4f97220956f8791b0651e59454cc7831ba810dd37e34773afb997baf5f9 | Shell | 90,921 | 842 | set -eu
SCRIPT_DIR=$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )
download()
(
URL=$1
DST=$2
if [ ! -f "$DST" ]; then
TMPFILE=$(mktemp)
wget -O $TMPFILE $URL
mv $TMPFILE $DST
fi
)
RAWDIR=${RAWDIR:-../10_raw_data}
download https://zenodo.org/record/10491940/files/vol0001_vis2_apex2.cf... |
44eadd820911a26a9524466f14f8ede81dd8652b815f0c26fbbb77711fa4fc4c | Stan | 810 | 32 | data {
int<lower=0> ntrials;
int<lower=0> nsubj;
int<lower=0> n;
int<lower=0,upper=1> ACC[n];
int<lower=0,upper=nsubj> subj[n];
int<lower=1, upper=ntrials> trial[n];
int<lower=0,upper=1> conditionA[n];
int<lower=0,upper=1> conditionB[n];
int<lower=1,upper=3> pair[n];
}
parameters {
real a[nsubj]; /... |
d404408b81c00348ee48d4f6da4d92c18345014549d80e0cab0a80d4b3b45114 | Stan | 839 | 34 | data {
int<lower=0> ntrials;
int<lower=0> nsubj;
int<lower=0> n;
real<lower=0> RT[n];
int<lower=0,upper=nsubj> subj[n];
int<lower=1, upper=ntrials> trial[n];
int<lower=0,upper=1> conditionA[n];
int<lower=0,upper=1> conditionB[n];
int<lower=1,upper=3> pair[n];
}
parameters {
real a[nsubj]; // interc... |
4a152f51b14257317feb552bcb881852d29896381c3ce411cff95ef78ffd0d3d | Stan | 873 | 36 | // random intercept model
data {
int<lower=0> n;
int<lower=0> nsubj;
int<lower=1,upper=nsubj> subj[n];
real<lower=1,upper=10> arousal[n]; // BL_before,BL_after,A_before,A_after,B_before,B_after
real<lower=0,upper=1> conditionA[n]; // BL=0; B=0; A=1;
real<lower=0,upper=1> conditionB[n]; // BL=0; B=1; A=0;
... |
c0b4276ac6307c7be92344411eaf6b583d04f335c127acfba91c30dddf9110a3 | Stan | 1,154 | 47 | // regression with Anticipated/Experienced as factor
data {
int<lower=0> nsubj;
int<lower=1,upper=3> dat[nsubj*4]; // first Anticipated/Experienced, first A then B
real<lower=0,upper=1> question[nsubj*4]; // Anticipated=0; Experienced=1
real<lower=0,upper=1> condition[nsubj*4]; // A=0; B=1
}
parameters {
/... |
983b860c498a090f8b11451fc816308625bcf8f83c59722eb120a52e4a3381b1 | Stan | 1,822 | 81 | // Hierarchical Signal Detection Theory
data {
int<lower=1> N;
array[N] int<lower=0> h;
array[N] int<lower=0> f;
array[N] int<lower=0> signal;
array[N] int<lower=0> noise;
}
parameters {
// Hyper(group)-parameters
vector[2] mu_pr;
vector<lower=0>[2] sigma;
// Subject-level raw parameters (for Matt ... |
777f6f2cc805be6d3da48d12951a61a6ccde5968d152bbd29c01c916df111527 | Stan | 2,074 | 70 | /*
hBayesDM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
hBayesDM is distributed in the hope that it will be useful,
... |
0d4bb1f52bfd87153a43a6d022aa33dcccd08eba77b38f67430949aa8975c6d0 | Stan | 2,258 | 75 | /*
hBayesDM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
hBayesDM is distributed in the hope that it will be useful,
... |
185af2b9be59ba602b82245559229db0821d1000636e68565638e2d43c996c8f | Stan | 2,998 | 68 | /*
hBayesDM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
hBayesDM is distributed in the hope that it will be useful,
... |
d7dfd41eb7038e0bbbea28141bc9ec4950be7dce2667887d5645c7a54f2a7808 | Stan | 3,156 | 106 | /*
hBayesDM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
hBayesDM is distributed in the hope that it will be useful,
... |
0ccf55f7cc3b69c5b044483e37ec67831a6846092a82cbdaeb948905da7e151f | Stan | 3,191 | 106 | /*
hBayesDM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
hBayesDM is distributed in the hope that it will be useful,
... |
b9e7974b491df39b0a6bf2b1a53b8d7f4949be40ee1a5efc5e4b6d190aa6cff6 | Stan | 3,223 | 114 | /*
hBayesDM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
hBayesDM is distributed in the hope that it will be useful,
... |
2772a75a9a4d65b6b5aa223e71d7490b14bf38f8d0bc8b3559bf23c7640936c7 | Stan | 3,254 | 123 | /*
hBayesDM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
hBayesDM is distributed in the hope that it will be useful,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.